Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.6+
• 3.7K

This course introduces dbt for data modeling, transformations, testing, and building documentation.

• IntermediateSkill Level
• 4.6+
• 3.7K

Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

• IntermediateSkill Level
• 4.5+
• 3.4K

Leverage the OpenAI API to get your AI applications ready for production.

• IntermediateSkill Level
• 4.4+
• 3.3K

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

• IntermediateSkill Level
• 4.6+
• 3.3K

Learn how to analyze a SQL table and report insights to management.

• IntermediateSkill Level
• 4.6+
• 3.3K

Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.

• IntermediateSkill Level
• 4.6+
• 3.2K

Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

• IntermediateSkill Level
• 4.5+
• 3.1K

Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

• IntermediateSkill Level
• 4.4+
• 3.1K

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

• IntermediateSkill Level
• 4.5+
• 3K

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

• IntermediateSkill Level
• 4.7+
• 3K

In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.

• IntermediateSkill Level
• 4.6+
• 3K

Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAIs embedding model!

• IntermediateSkill Level
• 4.6+
• 2.8K

Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!

• IntermediateSkill Level
• 4.7+
• 2.7K

Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.

• IntermediateSkill Level
• 4.6+
• 2.7K

Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.

• IntermediateSkill Level
• 4.6+
• 2.7K

Learn how to clean and prepare your data for machine learning!

• IntermediateSkill Level
• 4.5+
• 2.6K

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

• IntermediateSkill Level
• 4.6+
• 2.6K

Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.

• IntermediateSkill Level
• 4.5+
• 2.5K

Learn how to work with dates and times in Python.

• IntermediateSkill Level
• 4.5+
• 2.5K

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

• IntermediateSkill Level
• 4.4+
• 2.4K

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

• IntermediateSkill Level
• 4.7+
• 2.4K

Step right into the dynamic world of data modeling with Snowflake!

• IntermediateSkill Level
• 4.6+
• 2.3K

Get to grips with the foundational components of LangChain agents and build custom chat agents.

• IntermediateSkill Level
• 4.6+
• 2.1K

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

• IntermediateSkill Level
• 4.5+
• 2.1K

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

• IntermediateSkill Level
• 4.5+
• 2.1K

Discover modern data architectures key components, from ingestion and serving to governance and orchestration.

• IntermediateSkill Level
• 4.6+
• 2.1K

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

• IntermediateSkill Level
• 4.4+
• 2K

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

• IntermediateSkill Level
• 4.7+
• 2K

Discover how the Pinecone vector database is revolutionizing AI application development!

• IntermediateSkill Level
• 4.7+
• 2K

Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.